Leading Large Language Model Researcher

2 days ago


Singapore KLASS ENGINEERING & SOLUTIONS PTE. LTD. Full time

Job Description:

We are seeking an experienced AI/ML Researcher to lead the development of large language models (LLMs) solutions at KLASS ENGINEERING & SOLUTIONS PTE. LTD.

About the Role:

The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning.

The role involves leveraging AI/ML algorithm frameworks, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments.

Responsibilities:

  • Designing research methodologies and leading experiments to advance LLM core components
  • Conducting independent research and reporting results to stakeholders
  • Collaborating with engineering teams in data engineering tasks, including data collection, preprocessing, quality control, and augmentation
  • Utilizing analytical techniques to extract meaningful insights from large datasets
  • Communicating progress and research directions to supervisors and research leads
  • Publishing research papers in reputable journals and conferences is valued
  • Contributing to other program-related projects

Requirements:

  • PhD or Master degree in Computer Science, Computer Engineering, Statistics, Engineering, or related field
  • 2-4 years of experience in research and development, specifically in NLP and LLM core components
  • Demonstrate analytical skills, adept problem-solving abilities, and strong communication skills
  • Stay up-to-date with the latest advancements in NLP and LLM methodologies
  • Strong drive to deliver optimal solutions within tight timelines

Salary: The estimated salary for this position is $120,000 - $180,000 per annum, depending on location and experience.


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